Expertini Research Research

Browse Research Papers

32,423+ open-access research outputs.

โœ• Clear
๐Ÿ” spatial analysis ๐Ÿ“‚ Engineering
Showing 32423 results for "spatial analysis" in Engineering
Engineering Preprint PDF DOI

Data-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang, Amr Alanwar ยท 2026

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models. The framework deriโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Frequency Response of Nonlinear Systems: Notions, Analysis, and Graphical Representation

Alessio Moreschini, Matteo Scandella ยท 2026

The invariance principle, through which the steady-state behavior of nonlinear systems was introduced by Isidori and Byrnes, is leveraged in this article to bring forth a unifying characterization of โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dynamic Heartbeat Modeling with Recurrent Neural Networks and Inverse Gaussian Point Process

Runwei Lin, Ying Wang ยท 2026

Heart rate variability (HRV) analysis is important for the assessment of autonomic cardiovascular regulation. The inverse Gaussian process (IGP) has been widely used for beat-to-beat HRV modeling, as โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Uplink Single-Snapshot Frugal SLAM in Phase-Coherent Distributed MIMO Systems

Yu Ge, Xin Tong, Nenad Vukmirovic, Musa Furkan Keskin, Miljko Eric, Petar Djuric, Henk Wymeersch ยท 2026

We consider uplink frugal simultaneous localization and mapping (SLAM) in phase-coherent distributed MIMO (D-MIMO) systems, where a network of spatially separated single-antenna access points (APs) coโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Capacity Analysis of OFDM Systems with a Swarm of Network-Controlled Repeaters

Doga Evgur, Ozan Alp Topal, Ozlem Tugfe Demir ยท 2026

This paper investigates the uplink capacity of single-input single-output (SISO) systems assisted by a swarm of network-controlled repeaters (NCRs). We develop a rigorous wideband formulation based onโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Orthogonal Transformations for Efficient Data-Driven Reachability Analysis

Peng Xie, Amr Alanwar ยท 2026

Data-driven reachability analysis using matrix zonotopes faces a fundamental challenge: the number of generators in the reachable set grows exponentially during propagation, while current order reductโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

Quentin Rolland, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret ยท 2026

Imitation learning (IL) policies in robotics deliver strong performance in controlled settings but remain brittle in real-world deployments: rare events such as hardware faults, defective parts, unexpโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

An End-to-end Building Load Forecasting Framework with Patch-based Information Fusion Network and Error-weighted Adaptive Loss

Hang Fan, Ying Lu, Weican Liu, Dunnan Liu, Xiaotao Chen, Shengwei Mei ยท 2026

Accurate building load forecasting plays a critical role in facilitating demand response aggregation and optimizing energy management. However, the complex temporal dependencies and high volatility ofโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Empirical Prediction of Pedestrian Comfort in Mobile Robot Pedestrian Encounters

Alireza Jafari, Hong-Son Nguyen, Yen-Chen Liu ยท 2026

Mobile robots joining public spaces like sidewalks must care for pedestrian comfort. Many studies consider pedestrians' objective safety, for example, by developing collision avoidance algorithms, butโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data

Yitao Yan, Yu Tong, Jie Bao, Wei Wang ยท 2026

The abundance of process operating data in modern industries, along with the rapid advancement of learning techniques, has led to a paradigm shift towards data-centric analysis and control. However, iโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap

Hanxuan Chen, Jie Zheng, Siqi Yang, Tianle Zeng, Siwei Feng, Songsheng Cheng, Ruilong Ren, Hanzhong Guo, Shuai Yuan, Xiangyue Wang, Kangli Wang, Ji Pei ยท 2026

Vision-and-Language Navigation for Unmanned Aerial Vehicles (UAV-VLN) represents a pivotal challenge in embodied artificial intelligence, focused on enabling UAVs to interpret high-level human commandโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies

Yu Lei, Minghuan Liu, Abhiram Maddukuri, Zhenyu Jiang, Yuke Zhu ยท 2026

Co-training, which combines limited in-domain real-world data with abundant surrogate data such as simulation or cross-embodiment robot data, is widely used for training generative robot policies. Desโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Hybrid Architecture Gets Fluid: A New Paradigm for Direction-of-arrival Estimation in 6G Networks

Ye Tian, Jiaji Ren, Tuo Wu, Wei Liu, Maged Elkashlan, Matthew C. Valenti, Naofal Al-Dhahir, Hing Cheung So ยท 2026

High-precision direction-of-arrival (DOA) estimation, as a key sensing capability for 6G-enabled applications such as autonomous driving and extended reality, is increasingly dependent on the effectivโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Stability Principle Underlying Passive Dynamic Walking of Rimless Wheel

Fumihiko Asano ยท 2026

Rimless wheels are known as the simplest model for passive dynamic walking. It is known that the passive gait generated only by gravity effect always becomes asymptotically stable and 1-period becauseโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A transformable slender microrobot inspired by nematode parasites for interventional endovascular surgery

Xin Yang, Dongliang Fan, Yunteng Ma, Yuxuan Liao, Diancheng Li, U Kei Cheang, Bo Peng, Hongqiang Wang ยท 2026

Cardiovascular diseases account for around 17.9 million deaths per year globally, the treatment of which is challenging considering the confined space and complex topology of the vascular network and โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Exploiting Scheduling Flexibility via State-Based Scheduling When Guaranteeing Worst-Case Services

Yike Xu, Mark S. Andersland ยท 2026

Even when providing long-run, worst-case guarantees to competing flows of unit-sized tasks, a slot-timed, constant-capacity server's scheduler may retain significant, short-run, scheduling flexibilityโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

VPD-Centric Cascading Control with Neural Network Optimization for Energy-Efficient Climate Management in Controlled Environment Agriculture

Andrii Vakhnovskyi ยท 2026

Conventional climate control in Controlled Environment Agriculture (CEA) uses independent PID loops for temperature and humidity, creating cross-coupling conflicts that waste 20-40% of HVAC energy. Weโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Optimal Decentralized Dynamic Energy Management over Asynchronous Peer-to-Peer Transactive Networks via Operator Splitting

Xi Zhang, Huqiang Cheng, Guo Chen, Huaqing Li, Liang Ran, Jinhui Hu, Tingwen Huang ยท 2026

Peer-to-peer (P2P) energy management facilitates decentralized resource allocation among prosumers, improving local hosting capacity for renewables and minimizing energy expenditures while ensuring daโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset

Faheem Ahmad, Ajan Ahmed, Masudul Imtiaz ยท 2026

Deep learning has enabled highly realistic synthetic speech, raising concerns about fraud, impersonation, and disinformation. Despite rapid progress in neural detectors, transparent baselines are needโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

On the Optimality of Uncertain MDP Abstractions

Ibon Gracia, Morteza Lahijanian ยท 2026

We study the asymptotic optimality of abstraction-based control synthesis algorithms. Specifically, we consider uncertain MDP (UMDP) abstraction, and investigate whether refinement leads to optimal reโ€ฆ

Read Paper โ†’
โ† Prev Page 15 of 1622 Next โ†’